This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
이 강좌에 대하여
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
- 5 stars76.68%
- 4 stars16.09%
- 3 stars5.20%
- 2 stars1.18%
- 1 star0.82%
PYTHON DATA ANALYSIS의 최상위 리뷰
Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.
The final project was demanding not due to programming, but due to the idea of "code refactoring" and unclear dependencies on csv files.
One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.
Excellent Course, I really recommend it. This was my first course about python but now I gonna take all the courses available
Introduction to Scripting in Python 특화 과정 정보
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.
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